By Neveen Ghali, Mrutyunjaya Panda, Aboul Ella Hassanien, Ajith Abraham, Vaclav Snasel (auth.), Ajith Abraham (eds.)
This ebook is the 3rd of 3 volumes that illustrate the idea that of social networks from a computational viewpoint. The e-book includes contributions from a overseas collection of world-class specialists, with a selected specialise in wisdom discovery and visualization of advanced networks (the different volumes overview Tools, views, and Applications, and Security and Privacy in CSNs). themes and contours: offers the newest advances in CSNs, and illustrates how businesses can achieve a aggressive virtue from a greater figuring out of advanced social networks; discusses the layout and use of quite a lot of computational instruments and software program for social community research; describes simulations of social networks, and the illustration and research of social networks, highlighting tools for the knowledge mining of CSNs; presents adventure experiences, survey articles, and intelligence strategies and theories in relation to particular difficulties in community technology.
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Extra resources for Computational Social Networks: Mining and Visualization
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Com A. 1007/978-1-4471-4054-2 2, © Springer-Verlag London 2012 25 26 M. Panda et al. Introduction A social network is an umbrella with nodes of individuals, groups, organizations and related systems that tie in one or more types of interdependencies. Social network data analysis is intended to understand the social structure, which subsists amongst entities in an organization [1–3]. Social network analysis is focused on uncovering the patterning of people’s interaction. Network analysis is based on the intuition that these patterns are important features of the lives of the individuals who display them.
Different relationships for coping with ambiguity and uncertainty in organizations. Soc. Netw. 31, 33–39 (2009) 39. : A modified pulse coupled neural network for shortest path computation. J. Comput. Inf. Syst. 6(9), 3095–3102 (2010) 40. , Examining social media usage: technology clusters and social network relationships. First Monday 14(1–5), January (2009) 41. : Mining recommendations from the web. In: Proceedings of 2008 ACM Conference on Recommender System, Lausanne, pp. 35–42 (2008) 42. : The relationship between unwillingness to communicate and students Facebook use.